Hybrid Conference (In Person / Virtual)

International Conference on Computational Biology and Machine Learning (ICCBML - 27)
27th - 28th April 2027 , Melbourne, Australia
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Conference Notifications:

"Be sure to check this section regularly for all IIRD Global Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

  • Abstract Submissions Open:
    "We are now accepting abstract submissions for the IIRD Global Conference in Melbourne. Submit your abstract by today to be part of this exciting international event." Call for Abstracts – Submit Now!
  • Paper Submission Guidelines:
    "Please ensure your paper follows the submission guidelines for smooth processing. Visit our paper submission page for more details."
  • Peer Review Process:
    "The peer review process will begin soon. Authors will receive valuable feedback that will help enhance their presentations for the Melbourne conference."
  • Networking with Global Experts:
    "Join global experts at our conference in Melbourne and engage in meaningful conversations. Build relationships that last." Register now to join!
  • Best Paper Presentation Award:
    Dr. Shatha Hawarna from Hamdan Bin Mohammed Smart University received the Best Paper Presentation Award at (ICBAI-25) in Bangkok, Thailand.
  • SDG-Inspired Conference Focus:
    "The conference will explore themes related to sustainability and inclusive development, with an emphasis on research that contributes to global well-being."

Call For Papers

The ICCBML provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition.

The conference covers diverse topics such as Machine Learning, encouraging participation from emerging researchers and fostering academic growth.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Machine learning in genomics and proteomics
02
Predictive modeling in computational biology
03
Bioinformatics applications of machine learning
04
Data mining techniques for biological data
05
Machine learning for drug discovery
06
Systems biology and machine learning integration
07
Machine learning for personalized medicine
08
Challenges in biological data analysis
09
Machine learning for disease prediction
10
Genetic algorithms in computational biology
11
Machine learning for protein structure prediction
12
Ethics in computational biology research
13
Machine learning for microbiome analysis
14
Data visualization in bioinformatics
15
Machine learning in clinical trials
16
Applications of ML in epidemiology studies
17
Machine learning for agricultural biotechnology
18
Future trends in computational biology
19
Integration of AI in biological research
20
Machine learning for environmental biology

Assessment

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.

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